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Academic Journal of Engineering and Technology Science, 2024, 7(3); doi: 10.25236/AJETS.2024.070315.

Research and Implementation of a Multimodal Biometric-Based Attendance System


Peng Xiaoliang, Yin Hang, Zhao Shengqi, Lan Yang

Corresponding Author:
Peng Xiaoliang

University of Science and Technology Liaoning, Anshan, China


With the increasing requirements of enterprises for employee attendance management, the traditional attendance method can no longer meet the needs of modern enterprises. This paper proposes a multimodal biometric-based attendance method, system, terminal equipment and media, which combines two biometric features, face recognition and gait recognition, and improves the accuracy and real-time attendance recognition. This paper firstly introduces the background and significance of the research, then elaborates the design and realization process of the multimodal biometric-based attendance method and system, and finally verifies the effectiveness and superiority of the method through experiments. The experimental results show that the method is excellent in both accuracy and real-time performance of attendance recognition, and provides a more intelligent and humanized attendance management solution for enterprises.


Artificial Intelligence, Multimodal, Biometrics, Attendance System

Cite This Paper

Peng Xiaoliang, Yin Hang, Zhao Shengqi, Lan Yang. Research and Implementation of a Multimodal Biometric-Based Attendance System. Academic Journal of Engineering and Technology Science (2024) Vol. 7, Issue 3: 103-109. https://doi.org/10.25236/AJETS.2024.070315.


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